Deep neural networks and the ability to automatically analyse and extract non-linear patterns from vast amounts of image data are allowing radiologists to focus on cases that are unusual outliers or at the edges. This means that routine cases can be processed automatically and often with greater accuracy than human diagnosis because of the consistency in the analysis [1]} and thus we can leverage this technology for everybody's benefit.
